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Complete RAG Tutorial | Indexes, Embeddings, Vectors & Retrieval Step by Step | Langchain @SCALER
In this video, Sumit Shukla, Data Scientist and Educator, explains how indexes work in LangChain and how they are used to enable Retrieval Augmented Generation (RAG).
The session breaks down key concepts such as embeddings, vectors, and retrievers, and walks through how a large language model can use external data like a PDF to generate context aware responses.
Join Scaler’s FREE Masterclasses by industry experts: https://www.scaler.com/events/?utm_source=osocial&utm_medium=youtube&utm_campaign=agentic-ai-video7
This video is part of Scaler’s Agentic AI series and focuses on understanding how LangChain handles document indexing and retrieval step by step.
What you will learn in this video:
- What Retrieval Augmented Generation is and why it is used
- How documents are loaded and split into chunks
- How text is converted into embeddings
- How vectors are searched using a retriever
- How the retrieved context is passed to an LLM
Chapters:
0:38 - Introduction & the need for RAG
8:10 - Components of RAG
11:30 - Text Splitters & Embedding Models
15:40 - Example of Vector Embedding Application & Retrieval
21:22 - What is a Document Loader?
25:55 - What is Text Splitter?
33:50 - Length-Based Text Splitters
39:55 - Recursive Text Splitters
50:30 - Semantic Text Splitters (Experimental Library)
54:31 - Conclusion
This video is useful for learners who want a clear conceptual understanding of RAG using LangChain, especially when working with private documents such as PDFs.
#LangChain #RAG #AgenticAI #Embeddings #VectorSearch #Scaler
langchain, langchain tutorial, retrieval augmented generation, rag in langchain, embeddings, vectors, langchain indexes, vector embeddings, retriever in langchain, agentic ai, llm context retrieval, scaler ai, scaler agentic ai
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Видео Complete RAG Tutorial | Indexes, Embeddings, Vectors & Retrieval Step by Step | Langchain @SCALER канала SCALER
The session breaks down key concepts such as embeddings, vectors, and retrievers, and walks through how a large language model can use external data like a PDF to generate context aware responses.
Join Scaler’s FREE Masterclasses by industry experts: https://www.scaler.com/events/?utm_source=osocial&utm_medium=youtube&utm_campaign=agentic-ai-video7
This video is part of Scaler’s Agentic AI series and focuses on understanding how LangChain handles document indexing and retrieval step by step.
What you will learn in this video:
- What Retrieval Augmented Generation is and why it is used
- How documents are loaded and split into chunks
- How text is converted into embeddings
- How vectors are searched using a retriever
- How the retrieved context is passed to an LLM
Chapters:
0:38 - Introduction & the need for RAG
8:10 - Components of RAG
11:30 - Text Splitters & Embedding Models
15:40 - Example of Vector Embedding Application & Retrieval
21:22 - What is a Document Loader?
25:55 - What is Text Splitter?
33:50 - Length-Based Text Splitters
39:55 - Recursive Text Splitters
50:30 - Semantic Text Splitters (Experimental Library)
54:31 - Conclusion
This video is useful for learners who want a clear conceptual understanding of RAG using LangChain, especially when working with private documents such as PDFs.
#LangChain #RAG #AgenticAI #Embeddings #VectorSearch #Scaler
langchain, langchain tutorial, retrieval augmented generation, rag in langchain, embeddings, vectors, langchain indexes, vector embeddings, retriever in langchain, agentic ai, llm context retrieval, scaler ai, scaler agentic ai
______________________________________________________________________________
About SCALER:
A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact.
Learn more about Scaler: http://bit.ly/3UPH9b6
📌 Follow us on Social and be a part of an amazing tech community📌
👉 Tweets you cannot afford to miss out on - https://twitter.com/scaler_official
👉 Check out student success stories, expert opinions, and live classes on Linkedin - https://www.linkedin.com/school/scalerofficial
👉 Explore value-packed reels, carousels and get access to exclusive updates on Instagram - https://www.instagram.com/scaler_official/
📢 Be a part of our one-of-a-kind WhatsApp community: https://whatsapp.com/channel/0029VbAiMGz3mFY3P62qHx3X
🔔 Hit that bell icon to get notified of all our new videos 🔔
If you liked this video, please don't forget to like and comment. Never miss out on our exclusive videos to help boost your coding career! Subscribe to Scaler now!
https://www.youtube.com/Scaler?sub_confirmation=1
Видео Complete RAG Tutorial | Indexes, Embeddings, Vectors & Retrieval Step by Step | Langchain @SCALER канала SCALER
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30 марта 2026 г. 17:30:22
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